Sung-Hyuk Cha
About
Sung-Hyuk Cha has authored 24 papers that have received a total of 911 indexed citations.
This includes 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Signal Processing. The topics of these papers are Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sung-Hyuk Cha is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers) and collaborates with scholars based in United States and South Korea. Sung-Hyuk Cha's co-authors include Charles C. Tappert, Sargur N. Srihari, John V. Monaco, Yong‐Chul Shin and Sangjik Lee and has published in prestigious journals such as Pattern Recognition, Journal of Forensic Sciences and Journal of Mathematical Imaging and Vision
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